Senior Manager, Ai Policy And Channel

Bristol Myers Squibb

Princeton, NJ, US
Base: $152,150 - $184,370; bonus/equity: + incenti...
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Machine learning pipeline development
Python programming proficiency
Time series forecasting expertise
** Bristol Myers Squibb is seeking a Senior Manager for AI Policy and Channel, located in Princeton, NJ, to lead the development and deployment of data science and machine learning solutions that enhance commercialization strategies. The ideal candidate will have a strong technical background in machine learning, experience in the biopharmaceutical industry, and excellent communication skills for stakeholder engagement. **

Job Summary

  • This role involves designing and deploying end-to-end machine learning pipelines to drive commercialization excellence in pricing and market access.
  • The position requires translating complex technical model results into clear, actionable business strategies for diverse non-technical stakeholders.
  • Bristol Myers Squibb offers competitive benefits including health coverage, financial well-being programs, and flexible time off options.

Matching Summary

Match Score: 75

** Bristol Myers Squibb is seeking a Senior Manager for AI Policy and Channel, located in Princeton, NJ, to lead the development and deployment of data science and machine learning solutions that enhance commercialization strategies. The ideal candidate will have a strong technical background in machine learning, experience in the biopharmaceutical industry, and excellent communication skills for stakeholder engagement. **

Salary

Base: $152,150 - $184,370; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Comprehensive health, 401(k), paid time off, and wellbeing support

Skills & Requirements

Must-have

  • Machine Learning pipeline development
  • Python programming proficiency
  • Time series forecasting expertise
  • Cloud-based environment familiarity
  • Cross-functional stakeholder collaboration

Nice-to-have

  • Natural Language Processing experience
  • Large Language Model fine-tuning
  • Agentic AI framework knowledge
  • Biopharmaceutical market access understanding
  • Strong presentation and communication skills

Key Requirements

  • Bachelor's degree in quantitative field required
  • Minimum 3 years hands-on ML pipeline experience
  • Proficiency in Python and statistical methods
  • Experience with MLOps and CI/CD workflows

Work Rights

Not specified

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